A simplex dispersion model for improving precision in the odds ratio confidence interval in mixture experiments

Autores

  • Gilberto Rodrigues Liska Universidade Federal de São Carlos http://orcid.org/0000-0002-5108-377X
  • Marcelo í‚ngelo Citillo Universidade Federal de Lavras
  • Fortunato Silva de Menezes Universidade Federal de Lavras
  • Júlio Silvio de Sousa Bueno Filho Universidade Federal de Lavras

DOI:

https://doi.org/10.4025/actascitechnol.v42i1.44068

Palavras-chave:

dispersion model family; proportion; mixture model; mammary gland tumors; odds ratio.

Resumo

A new approach to data analysis in mixture experiments is proposed using the simplex regression, that is in the class of dispersion models family. The advantages of this approach are illustrated in an experiment studying the mixture effect of fat, carbohydrate, and fiber on tumors´ proportion in mammary glands of rats. Model was evaluated by goodness of fit criteria, simulated envelope charts for residuals of adjusted models, odds ratios graphics and their respective confidence intervals. The simplex regression model showed better quality of fit and smaller odds ratio confidence intervals.

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Publicado

2020-05-28

Como Citar

Liska, G. R., Citillo, M. í‚ngelo, Menezes, F. S. de, & Bueno Filho, J. S. de S. (2020). A simplex dispersion model for improving precision in the odds ratio confidence interval in mixture experiments. Acta Scientiarum. Technology, 42(1), e44068. https://doi.org/10.4025/actascitechnol.v42i1.44068

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Estatí­stica

 

0.8
2019CiteScore
 
 
36th percentile
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0.8
2019CiteScore
 
 
36th percentile
Powered by  Scopus

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